Post on 08-May-2015
description
BIS 220 INTRODUCTION TO COMPUTER APPLICATIONS
AND SYSTEMS WORKSHOP V, RAJI GOGULAPATI
Summary
Emerging phenomenon in businesses and technologies,
effects on work
Workshop IV review
Story of how businesses use technologies
with new approaches to
solve old problems.
Groups of online collaborative communities made all the difference !
Generating, capturing and
sharing knowledge
Organizations can use
technology to bring brains
together effectively
Enterprise 2.0
Enterprise 2.0
& Next generation enterprise landscape Role of
IS/ IT in the
enterprise
world Online customer
evolution
What did we learn so far?
Path to Progress
Technology is the “driver” not just the “enabler” of business success and opportunity
When people adopt technology, they merely do old things in new ways.
When people internalize technologies, they find new things to do.
Current Drivers
Connectivity of people and things is rapidly expanding to being everywhere and anytime.
An ocean of information is getting collected, clever algorithms are sifting through it and finding insights
These large datasets are enabling a new set of applicationsthat elevate the consumer experience at every touch point
New products, services and value is being created and delivered rapidly over platforms
What you sell is no longer perceived as just a product or service by the consumer. It is about something at the center of the “total customer experience”.
IN THE NEWS
KPCB, cnnmoney
IN THE NEWS
money.cnn.com
Top 10 Trends (Gartner)
Cloud computing
Open Source
Enterprise 2.0 BI, Big Data
Social networking benefits and challenges
Apps World
E-learning
Platforms – Amazon, Apple, Facebook, Google
What is next?
What is cloud computing
about?
Relevance to business
operations
Players
Technology enablers and architectural
elements
Cloud Computing
Shift from supply push to demand pull of data, information
and services
Massive server farms made up of commodity
PC’s
Usage pattern with existing IT resources
SOA is key to cloud computing
Source: Enterprise cloud computing by Andy Mulholland, Jon Pyke and Peter Fingar
http://www.csrc.nist.gov/groups/SNS/cloud-computing/index.html
NIST Cloud Computing Framework
Access the presentation at
Framework
Applications in the Cloud
Salesforce.com growth over the years
Virtual, collaborative learning, teaching and research environments in the cloud
Mobile enterprise in the cloud
Social Network sites Professional network sites
Social News, book Marking sites
Forum sites
Business directory sites Photo and video sharing
Get connected
Mobile, Portable computing, mobile web browsing,
touch screen Embed computing into products,
mobile commerce connected Reality redefined, Life streaming
Cyborg, BYOD
Always on, always connected, plug yourself into cloud
Cloud computing vendors
http://online.wsj.com/article/NA_WSJ_PUB:SB123802623665542725.html
Analytics Big Data Enterpri
se BI
What is next?
Describe Big Data
Incomplete
Fragmented
Not precise
Dynamic
External
Unmanageable
Democratic
???
Data Science
Ultimate Goal – Improve Decision making
principles
Frameworks
Data analytic thinking
• Extract patterns• Mining for useful knowledge
• Models • Process • Stages
• Assess how data can improve performance
• Understand data science • See data oriented
competitive threats • Question
Big Data Advantage – Analytics and decision management
Decision
making
Data deluge
Techniques
Solutions
Rewards
Techniques
Statistical Visualization
Semantics
Automation
Predictive Analytics
Plunge Issues
Problems
Source: Forbes.com, Cloud Predictive Analytics most used to gain customer insight, 10/24/2013
Data types in a Big Data context
Big Data Use Cases – Financial Sector
Source – HP Sponsored white paper, Case for Big Data in the Financial Services sector, IDC Financial Insights opinion 2012
Investment banks - speed post-trade settlement,
confirmation
Hedge funds - optimize price discovery
Retail banking - create merchant intelligence and assist in
optimizing offers and pricing
Social media tracking for marketing campaigns
Investment research to understand traffic patterns, trends
Community banksAnalyzing unstructured data to anticipate workloads in call centers
Social analytics towards product and service initiatives
Big Data Use Cases – Government
Source – IBM, “Accelerate Analytics and harness Big data within government”
Improve citizen and business services -
Smarter social services. Fight fraud, abuse and errors
Manage resources effectively – tax compliance
Fight fraud, abuse and errors
Strengthen public safety – crime prediction and prevention
Strengthen national and security defense - Threat prediction and prevention, cyber security,Video analytics
Big Data Capabilities – health care
Source: McKinsey Report titled Big Data Revolution in health care, exhibit 9
Risk stratification – patient identification for integrated care
Risk adjusted benchmark/ simulation of hospital productivity
Personal health records
Evaluation – identification of patients with negative drug-drug
interactions, potential diseases.
Systematic Reporting of misuse of drugs, systematic Identification of obsolete drug usage
Monitoring - Identification of inappropriate medication
Data mining – Why did it happen?Evaluation – clinical pathways, drug efficacy based on real world data
Big Data Analytics capabilities – travel and transportation
Source: IBM, Big Data and Analytics in Travel and Transportation white paper, figure 4
Maintenance and Engineering – asset management data, Spec sheets, product data
Capacity and Pricing optimization
Call center – call logs, voice/ audio, incidents, email, text Images, videos, graphics – Track, rail segment images and video
Geospatial and temporal – GIS, GPS, weather, Environmental
Sensors, Actuators and detectors – Equipment, wheels, engines, Tracks
Analytics - Explained
Source: Analytics 3.0 by Thomas H Davenport, HBR, Dec 2013
Analytics 1.0Era of business intelligence, go beyond intuition, fact based comprehension for decision making. Era of enterprise data warehouse. Dominant for about 50 years.
Analytics 2.0From about 2005 onwards, Internet based social network firms – Google, eBay, LinkedIn..Not only internal, externally sourced, sensors, public data initiatives, multi media recordings. Innovative technologies NoSQL, Hadoop, machine learning. Computational and analytical skills
Analytics 3.0 Data enriched offerings for every industry. Driven by analytics, rooted in enormous amounts of data.Co-existence of traditional and new.
Ability to handle new varieties of data – voice, text, log files, images, video on a large scale
Sensors and operational data gathering devices in motion to optimize
Cost savings of storage – data base to database appliance to a Hadoop cluster
Big companies always wrestled with the data volume issues. Bigness is not new! Variety is new!
What is different from the past?
Source: Big Data in Big companies, May 2013: Authored by: Thomas H. Davenport, Jill Dyché
Networked
Enterprise
Of Evolution
What is next?
Search Engines – Google, Yahoo, Bing
Source: Mitra, K. (2010). What Next In Search?. Business Today, 19(9), 134.
User intentReal time
Localized
• Information Retrieval
• Match intent with search
• Platforms such as Twitter
• Search engines update databases searching thru tweets
• Mobile searches • Walk into a mall
and search for sales
Collaboration Tools
For learning and sharing basics on subject matter • Blogs • Youtube
videos • Wikis
Office Tools• Open
source • Google
docs• MS word,
powerpoint• Presentatio
n tools such as Prezi
• Slideshare
Web Tools for Project management• Project
meeting agenda
• Fixing meetings
• Follow up
Source: http://www.zdnet.com/the-major-enterprise-collaboration-platforms-and-their-mobile-clients-7000018519/
Corporate Portals Re-imagine
Re-imagine knowledge Services and functionality in a framework
e-document management systems, exchanges for content,database management systems,data warehouse, communities of practicessocial communities of interestindividual communities of interest
Re-imagine organizing around this knowledge exchange
Re-imagine innovations, competitiveness with know-how
Source: http://socialmediatoday.com/soravjain/195917/40-most-popular-social-networking-sites-world
Source: http://www.wired.com/2013/05/mary-meekers-annual-state-of-the-internet-hoo-ha/
Source: http://www.wired.com/2013/05/mary-meekers-annual-state-of-the-internet-hoo-ha/
World
Apps
What is next?
Apps for everything?
First, some reflections
Procter & Gamble's Oral B smartphone connected toothbrush - expect in the market soon...
I thought it was just the human brain and "some things" that needed connections... I will be bold and say - ridiculous!
For brushing teeth and eating breakfast, keep it simple...
Mar 8, 2014.
Apps are Everywhere!
1975 1985 1995 2008 2015
Main Frames
Operating Systems
Database
ERP
Apps
Data
Business Value Shifting to Apps
Wearable Tech – Google Glass
Platforms
What is next?
PLATFORMS APPLE
Are they modern monopolies?
AMAZON WHAT IT MEANS TO YOU
Network Effects
PLATFORMS GOOGLE
What is Google’s business model?
And more
Netflix
Salesforce
PLATFORMS ARE ABOUT SOLUTIONS WITH CONVERGENCE OF TECHNOLOGIES
• CLOUD SERVICES ARE THE BACK-END DELIVERY MODEL FOR MOST MOBILE APPLICATIONS
• BIG DATA IS THE COLLECTION AND ANALYSIS OF OCEANS OF INFORMATION THAT IS NOW BEING PRODUCED
• AND “SOCIAL BUSINESS” REFLECTS THE FACT THAT CUSTOMERS HAVE TAKEN CONTROL OF THE BUYING CYCLE
Open Source
What is next?
Open Source Eco System
Open Source communities
Open Source users
Open Source Products
Foundations/ Trusts
Traditional Vendors
Support, services,
consulting, Systems
integration
Experts, Press, Opinions
Musings on Open Source licensing
Interactive License Differentiator from Oxford Universities OSS Watch
Open Source License Differentiators – It’s complicated!
E Learning
MOOCS
What is next?
LCEs Shift Focus To Learning & Learner
e-sources of knowledge at the UOP